Code of Practice on Transparency of AI-Generated Content (marcatura ed etichettatura dei contenuti generati o manipolati dall'IA)

Signatories will implement technical marking and detection solutions which, in conjunction, are fit-for-purpose and capable of enabling natural persons to distinguish content generated or manipulated by their AI system, thus contributing to the trust and integrity of the information ecosystem. Those solutions will be considered effective when natural persons can access and understand the meaning of the detection results. There is no quantitative evaluation metric linked to this Measure; instead, it requires a user-based assessment of the detection functionality. Signatories are encouraged to publish specifications to guide downstream stakeholders on how to display the detection information output by their detection solution. Signatories may conduct relevant panel studies, to the extent relevant to their application use case, to check how well natural persons exposed to the detection results understand them.